Abstract
Welcome to the July issue of the Artificial Intelligence and Data Science for Communications Series of IEEE Communications Magazine. The Series continues its growth in popularity among academicians, researchers, and practitioners, as well as its increase in diversity in the topics it handles that relate to theory and applications of artificial intelligence (AI) and machine learning (ML) techniques to many communications systems and network domains. Due to the abundant availability of data, and the continued development and refinement of AI and ML techniques to process this data, AI and ML have established themselves as practical and viable approaches to provide efficient and practical solutions to many of the challenges in tethered and untethered communications environments at different scales and in different domains.
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